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Los Altos, California, United States
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Websites
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http://www.scottchou.com
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http://www.EmployeeStockOptions.com
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6K followers
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Scott Chou shared thisI learned today that VENTI was a #Wordle Word but EMOJI was not! https:// wordle.scottchou.com
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Scott Chou shared thisToday I learned that GOTTA and GONNA are official Wordle words! 😂#Wordle1709 https://lnkd.in/gsypP4j6
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Scott Chou shared thisIn Wordle today, I learned that GLOOP and BLOOP are official words, but KLOOF and CLOOP are not. #Wordle1701 https://lnkd.in/gsypP4j6
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Scott Chou shared thisPrint this out as a visual aid and scratch off letters that become impossible during a Wordle game. This chart is automatically recalculated each day as the unused answers list changes. Get the latest here: https://lnkd.in/gsypP4j6 #wordle
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Scott Chou shared thisPrint this out and scratch off letters as they become impossible. Each column shows the most common letters in each position in rank order. You'll be able to visualize your next best guess. For example, on a clean sheet you can "see" NYT bot favorites CRANE and CRONY near the top. I republish this periodically based on recalculating the letter frequency of all the "unused" Wordle words. Not the entire word-space but just the unused answers. See https://lnkd.in/gsypP4j6 for real time updates to the used words space.
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Scott Chou shared thisMy two cents included! 😂
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Scott Chou shared thisESO Fund: Interview With CEO Scott Chou About Stock Option Exercise FundingESO Fund: Interview With CEO Scott Chou About Stock Option Exercise Funding
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Scott Chou liked thisScott Chou liked this10 years ago, Elon Musk was the first person to tell me pretty emphatically that we should always favor building a machine to build machines vs building a machine...that has stuck with me and was also an inspiration when we started 8090...
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Scott Chou liked thisScott Chou liked this“It is hard to overstate the enthusiasm with which the law faculty anticipates his return.” That’s how Stanford Law School Dean George Triantis describes Mariano-Florentino “Tino” Cuéllar’s arrival back at Stanford this summer. A former California Supreme Court justice and previously the Stanley Morrison Professor of Law, Cuéllar will rejoin the Stanford Law faculty while taking on two major university leadership roles. Cuéllar will serve as the next Sara Miller McCune Director of the Stanford, Center For Advanced Study in the Behavioral Sciences (CASBS) and as the Shriram Family Director of Knight-Hennessy Scholars. He will also hold a courtesy appointment in political science. Before his appointment to the California Supreme Court in 2015, Cuéllar was a member of the Stanford Law faculty for more than a decade. He continued teaching at Stanford Law during his time on the bench as the Herman Phleger Visiting Professor. “Tino Cuéllar has been a beloved teacher and mentor to hundreds of students, both before leaving the Law School for the California Supreme Court and since then,” said Triantis. “He has an extraordinary and unique record of accomplishment as a widely-cited legal scholar and jurist.” Welcome back to Stanford Law, Professor Cuéllar. https://brnw.ch/21wZ7uP
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Scott Chou liked thisScott Chou liked thisThe top 20 universities in the QS World University Rankings by Subject 2025 for Engineering & Technology represent the pinnacle of global innovation, research excellence, and academic reputation in fields like computer science, mechanical, electrical, and civil engineering. Led by the Massachusetts Institute of Technology (MIT) with an outstanding score of 96.2, the list showcases a blend of established powerhouses and rising stars. The United States dominates with institutions like Stanford (3rd, 93.5), UC Berkeley (6th), Harvard (9th), Caltech (13th), Georgia Tech (15th), and Carnegie Mellon (tied 19th), known for groundbreaking advancements in technology and entrepreneurship. The United Kingdom contributes strongly through Oxford (2nd), Cambridge (4th), and Imperial College London (8th), emphasizing interdisciplinary research. Switzerland excels with ETH Zurich (5th) and EPFL (10th), while Asia's rapid ascent is evident in Singapore's Nanyang Technological University (11th) and National University of Singapore (12th), China's Tsinghua (7th) and Peking (16th), and Japan's University of Tokyo (18th). Other notables include Delft (14th), Toronto (17th), and Technical University of Munich (tied 19th). This diverse cohort drives solutions to global challenges, from sustainable energy to AI, attracting top talent worldwide. #TopEngineeringUniversities #QSRankings2025 #MIT #Stanford #Oxford #EngineeringExcellence #HigherEducation #TechInnovation #GlobalUniversities
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Maxims, Morals, and Metaphors
See projectTextbook, Audiobook, and eBook on the teaching the art of venture capital through humor and idioms.
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Salil Deshpande
Uncorrelated Ventures • 9K followers
As AI workloads eat up global computing supply, DRAM prices are surging like never before—creating major challenges for teams trying to plan out their data center spend. One of my portfolio companies, Mext, is addressing the largest cost component in the datacenter: server memory (DRAM). From being on the board of Redis for the last twelve years, I’ve learned a lot about the various aspects of this problem and approaches to solving them. Mext found a breakthrough, using new AI techniques, for dramatically reducing the amount of server-DRAM required to run applications, all while maintaining performance. It intelligently manages the server’s memory, keeping hot pages (i.e., those in use by applications) in fast DRAM and offloading cold pages (i.e., those less used) to a much less expensive memory tier (e.g., NVMe Flash). Key to the approach is ensuring cold memory pages that are about to be accessed by an application are back in DRAM before the application needs them or notices that they were gone. This is done without modifications to the application or the OS – so it can run in the cloud or on-premise. Mext thus allows applications to either run using less DRAM or keep their DRAM footprint but do more with it. They're hosting a webinar along with Fred Weber (former CTO of AMD) on Jan 22nd at 10am pacific time. You can register here: https://lnkd.in/gXe9GCeE
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Daniel Dart
Rock Yard Ventures • 10K followers
🚨NEW EPISODE: Recorded live at FUTURE TITANS 2026 - Jeff Perry of Carta sat down with the iconic Seth Levine, co-founder of Foundry. Seth has been in venture for 25 years, built Foundry from scratch as an emerging manager himself, and has backed about 50 emerging manager funds through his fund of funds. He has genuinely seen every side of this table. They went deep on building Foundry, why VCs are in the influence business, not the decision business, and why the concentration problem in venture is not only bad for LPs, but also for the innovation ecosystem overall. And why Seth's new book, Capital Evolution, is so important for the future of America. 🎧 Links to listen... Apple: https://lnkd.in/ehQUQ2EM Spotify: https://lnkd.in/eU4FExpg
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Irakli Kashibadze
University of California… • 8K followers
Sustained ~252–291 GiB/s of HBM memory throughput on H100s under decode load — essentially hitting the hardware roofline. This matters because HBM throughput, not FLOPs, is the real bottleneck in LLM inference. By keeping memory nearly fully saturated, I’ve unlocked far higher efficiency and throughput than standard engines. The result: 0.9–1.36M tokens/sec with ~0.1 ms first-token latency #AI #LLM #GPURouter #H100 #Inference #CostEfficiency #Innovation #DeepLearning #AIInfrastructure #HighPerformanceComputing NVIDIA AMD OpenAI Google Shilpa Kolhatkar Keith Strier a16z speedrun
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Matt Rappaport
Future Frontier Capital • 8K followers
You can have groundbreaking science, elegant engineering, and even early customer interest. But without this one thing, you don't have an investable business. After two decades running IP strategy projects and now leading UC Berkeley's Deep Tech Innovation Lab while building the Berkeley Gateway Accelerator, I've watched countless brilliant technologies die in the valley between breakthrough and business. The problem isn't what most technical founders think it is. It's not about having better tech. It's not about getting more funding. It's not even about finding product-market fit. The fatal flaw shows up much earlier—and it's almost always the same mistake. In my latest piece, I answer questions from a Taiwanese entrepreneur about what really separates deep tech ventures that scale from those that stall. Including one provocative suggestion for Asian ecosystems that has nothing to do with technology. Read the full conversation, linked below. #DeepTech #Innovation #Startups #IntellectualProperty #VentureCapital
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Erin Price-Wright
Andreessen Horowitz • 4K followers
Honored and excited to partner with Drew Baglino and the incredible team at Heron Power as they re-imagine the electric grid for the modern world. Power in America is not zero sum. We deserve access to cheap and abundant electricity and we should win the AI race. And we must build the capacity to manufacture critical technology here at home. When faced with existential challenges, we deploy technology against them. And we win.
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Casey Berman
Camber Creek • 4K followers
Camber Creek led the $3.7 million Seed round for TwinKnowledge, which is tackling an important problem in the built environment. Construction projects get delayed and rework is required because of discrepancies across construction documents, submittals, requests for information, design, and other plans. TwinKnowledge’s AI Agents absorb structured and unstructured project data, surfacing and preventing conflicts before the work begins. We’re excited about our partnership with CEO Ivan Panushev and his team. #construction #AEC #AI #technology https://ow.ly/mBYX50VtaVG
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Jeff Johnson
B Capital • 5K followers
The next era of clean energy isn’t just about generating power—it’s about making distributed systems reliable, investable, and built to scale. That’s why we led Omnidian's $87M funding round. Omnidian provides performance assurance for residential and commercial solar and storage systems, using predictive analytics and expert service to maximize uptime, system life, and returns. As distributed energy becomes a core part of the global grid, long-term performance and trust will define the winners. Omnidian is building the infrastructure to make that possible. Congratulations to Mark Liffmann and the entire team—this is just the beginning.
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Matt Logan
Earthshot Ventures • 5K followers
Varun Sivaram has a truly unique ability to pull together stakeholders across AI, energy, and policy. This is exactly why Earthshot Ventures invested in Emerald AI - there is a grand bargain to be struck in getting data centers online fast if they're willing to bring flexibility to the grid, and Varun is the man to strike that bargain. The latest illustration - bringing together $5T in market cap consisting of the world's leading chip company and the 5 leading IPPs in the US to make this happen!
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Tony Corbin
White Star Capital • 3K followers
I’m thrilled to share that White Star Capital is backing AMI - Advanced Machine Intelligence in their historic $1.03bn seed round 🚀 - Led by the legendary Yann LeCun and Alex LeBrun. AMI isn't building another LLM, they're building World Models. Why this matters: *Beyond Text: Grounded in JEPA architecture to solve physical-world problems. *Global Powerhouse: A dream team from Meta FAIR, OpenAI, and DeepMind. *Sovereign Tech: A credible European-led alternative to US Big Tech. Excited to be part of this journey along with the rest of the WSC team Eric Martineau-Fortin, Matthieu Lattes, Bérénice Moustial and Victoria Pozzi Rocco Belforti. 🌍✨ https://lnkd.in/eiCKZKSQ #VentureCapital #AI
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Kit Yu
33K followers
Based on our bill of materials analysis, we estimate that NTAP has the highest memory/storage exposure (nearly 40% of product COGS, but less than 1/4 of total COGS) in our IT hardware coverage which, if unmitigated by price increases or other supply chain actions, could lead to an ~5 point drag on product gross margins if NAND & DRAM pricing increased by 60% (see Theme #6 for more details on our gross margin analysis). Despite the company's sizable exposure to memory/storage, we estimate that NTAP will see the least impact to its overall gross margins because of its (1) structurally higher product gross margins from storage (v. lower margin categories like servers and PCs); and its (2) high margin services portfolio, which accounts for approximately half of its overall revenue at highly accretive margins (82% in F2025).
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Jordan Steiner, CFA
Developer Capital • 3K followers
"Build the event you wish existed" That's what we at Monadical did last week at #NYTW. We wanted an AI Engineers discussion for Engineers. There's always a lot of events out there for VCs to network, or for startups to learn about G2M, but very little on lessons learned from actual engineers in the field. So that's the event we hosted. Big thank yous to our awesome panel, Roy Pereira, Ben Cohen and Corey J. Gallon. Here's the key takeaways and the AI tools we're using. 🚀 All three panelists independently called AI Agents the most transformative LLM application they’ve used. They specifically called out Claude 3.5 Sonnet for its accuracy and reliability. 🪨 We dug into how LLMs are “jagged”, not general. They can be shockingly good at some tasks and completely fail at others. Everyone agreed: good evaluations are critical (and hard.) 🧪 Corey noted how public benchmarks and reality are two different things. Most public evals are saturated or gamed. ♊ Ben emphasized that AI projects are actually two projects: building the tool and building the evaluation process. 🧱 We explored how falling dev costs may impact startup defensibility and labor demand. Roy shared that founders are already shifting strategies in response. ⚒️ In a world of daily AI launches, the panel discussed how they decide what’s worth attention, and what’s just noise. They called out tools like Goose, Aider, Claude Code, and Monadical’s own Cubbi, which helps run agentic workflows safely in dev environments. (links in the comments). CTA: What would you want to hear in an AI Applied Engineering talk you attended?
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Michael Fanfant
Runa Capital • 3K followers
I’ve known David Meister for years and backed him at Sydecar, so I’ve seen his ability to build through complexity. Axiom Trust is taking on one of the most outdated parts of wealth infrastructure, trust administration, by pairing a regulated trust company with AI-native workflows. We're proud to invest again and congrats to the team on the launch!
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Bob Hower
G20 Ventures • 1K followers
Great summary of why MaiaEdge.io matters. The AI era is creating massive demand for private, low-latency connectivity across distributed infrastructure. But today’s network interconnection model — built on manual processes and spreadsheet negotiations — simply can’t keep up. MaiaEdge is fixing this. Their platform lets network operators automate private path provisioning, federate with partners, and activate services in minutes instead of months. Founded by Abilash Menon, Tim Ziemer, Patrick Melampey and Andy Ory. This team has been here before. They know how to build carrier-grade infrastructure that operators trust. Congratulations to the entire MaiaEdge team. We’re proud to be part of this journey. #venturecapital #AI #networking #infrastructure #G20Ventures
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Brittany Walker
CRV • 5K followers
Voice is a super interesting modality right now - maybe the first modality we're seeing move to open source models across a number of scale ups / enterprises. Reliability concerns, high costs, and open source model performance are pushing engineers to do their own fine tuning vs. relying on third-party vendors of proprietary models. Many of these orgs have already been collecting their own first-party data and now with third-party vendors like Extrian, David AI, etc they can train really high quality models. RL has been insanely hyped, but it's been unclear how long it will take scale ups and enterprises to actually lean in. Voice AI might be hitting that inflection point faster than expected.
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James Green
CRV • 10K followers
At CRV, we’ve been fortunate to partner with some of the most visionary founders reshaping the future of cybersecurity over the past five decades. From cloud-native data protection to developer-first security and AI-driven detection, our portfolio reflects the breadth and depth of innovation happening in the industry today. Companies like Cyera, Cribl, Astrix Security, Tailscale, and Vega (among many others) are tackling the hardest problems facing CISOs and developers — from securing non-human identities, to modernizing log pipelines, to making zero-trust networking effortless. What’s exciting is not just the individual companies, but the ecosystem effect: each is building in complementary areas, and together they’re advancing how enterprises secure data, infrastructure, and applications in an AI-powered world. Cybersecurity has never been more mission-critical, and the next decade will see even greater disruption as AI, automation, and new architectures redefine what’s possible. We’re proud to support founders leading that charge.🚀 If you’re building in cyber, we’d love to connect!
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Jake (JH) P.
ARKITEKT EQUITY • 1K followers
Excited to finally share what we’ve been building over the past year. Today we’re announcing the first investment from ARKITEKT EQUITY. Over the past year, we have been closely observing the structural shifts occurring within semiconductor ecosystems. As manufacturing systems become more complex, the infrastructure enabling those systems becomes increasingly strategic. These environments demand operational clarity, coordination, and long-term alignment. ARKITEKT was built around a simple idea: durable value is created where frontier technology meets pragmatic execution. Our investment in BBTech reflects this conviction. This is just the beginning of what we aim to build at ARKITEKT EQUITY. Stay tuned! https://lnkd.in/g_pQiBZY
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Astasia Myers
Felicis • 6K followers
GPUs have gotten faster, and models have gotten larger. But storage is still stuck in the past. Modern AI workloads need instant access to huge datasets. Instead, teams waste time on slow retrieval, idle GPUs, and costly pipelines. Archil is changing this. It delivers object-storage scalability at block-storage speeds. The platform allows for seamless, high-performance access to massive datasets. By eliminating cold starts and accelerating throughput 30X, Archil enables teams to fully utilize their infrastructure and move faster on training, analytics, and AI deployment. Archil’s founder Hunter Leath brings rare technical depth and operating experience from building Amazon EFS and optimizing Netflix’s cloud performance. This is a team building the foundational layer that AI workloads desperately need. I’m thrilled to lead Archil’s seed at Felicis with Nancy Wang and support their mission to reinvent cloud storage for the AI era. https://lnkd.in/gWueXhzz
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Bilal Zuberi
Red Glass Ventures • 63K followers
Chatting with ZEDEDA CEO, Said Ouissal, and he has an elegant way of explaining the evolution of industrial Edge. Zededa provides OS for orchestrating Edge AI. 2010s were about IoT/Edge Connectivity. 2020s were about Edge computing/processing. 2030s will be all about Edge AI.
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Choongsoon Bae
Top Harvest Capital • 2K followers
We are thrilled to be part of the Syntracts journey with Douglas Bemis, Christopher Martin! Syntracts is solving the crucial industry paradox of how enterprises can harness the "magic of AI" without compromising data security. We are deeply impressed by their fundamentally different and innovative approach: building secure on-prem legal AI infrastructure at scale. Syntracts utilizes thousands of experts—small language models fine-tuned with synthetic data—to provide reliable, accurate, structured data for complex legal documents. This is the purpose-built, privacy-first data layer the legal industry desperately needs. We are excited to support Syntracts as they scale trust and performance in enterprise AI. Top Harvest Capital is pleased to join Hyperplane, Myriad Venture Partners, Khosla Ventures, Fortitude Ventures, and Point72 Ventures and other respected firms in backing Syntracts. Adam Ghobarah M Waleed Kadous Top Harvest Capital
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Ashish A.
Chamaeleon • 18K followers
Exciting to see Eridu AI emerge from stealth - led by Drew Perkins. The next frontier of AI isn’t just compute; it’s the networking and infrastructure powering it. 🚀 We, at Chamaeleon, are excited to be part of the journey. #AIInfrastructure #ArtificialIntelligence #AINetworking #DeepTech #VentureCapital
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